Pemilihan Pusat Pertumbuhan Baru pada Daerah Mitra Ibu Kota Nusantara: Studi Kasus Kecamatan Penajam
Bibliographic record
Abstract
The relocation of Indonesia’s Capital City of Nusantara (IKN) represents the government’s strategy to reduce regional disparities in the country. Penajam Subdistrict, which directly borders IKN area and serves as one of its partner areas, has significant potential as an economic driver, particularly for food security. Its geographical location gives it agricultural advantages, especially in the plantation subsector, which supports the national agricultural activities as directed by Presidential Regulation No. 63 of 2022. This potential may encourage the establishment of new growth centers that drive the economic sector through their leading plantation commodities. The development of these centers may also generate optimal polarization and downward trickling effects that benefit IKN partner areas. This study aims to identify new growth centers at a micro level in Penajam Subdistrict to support spatial utilization that aligns with IKN needs and sustainable regional development. Employing a quantitative method, this research utilizes centrality and accessibility index analysis as well as Location Quotient (LQ) techniques. The results of the study show that eight villages in Penajam have the potential to become new growth centers and serve as partner areas to IKN.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".